Antibodies against Synthetic Deamidated Gliadin Peptides as Predictors of Celiac Disease: Prospective Assessment in an Adult Population with a High Pretest Probability of Disease
Open Access
- 1 December 2007
- journal article
- Published by Oxford University Press (OUP) in Clinical Chemistry
- Vol. 53 (12) , 2186-2192
- https://doi.org/10.1373/clinchem.2006.081364
Abstract
Background: Noninvasive serologic tests have shown high diagnostic accuracy for celiac disease (CD) in selected populations. Our aim was to determine prospectively the performance of CD-related serology in individuals undergoing intestinal biopsy because of clinical suspicion of small-bowel disorders. Methods: We enrolled 141 unselected consecutive adult patients attending a small-bowel disease clinic. Patients underwent endoscopy and biopsy; serum samples were obtained at that time for measurements of anti–tissue transglutaminase (a-tTG), IgA and IgG anti–deamidated gliadin-related peptide (a-DGP), and IgA antiactin antibodies (AAAs). Characterization of patients was based on histological criteria (Marsh type II lesion or greater). Results: The prevalence of CD was 42.5%. Sensitivity, specificity, and positive and negative predictive values were >90% for most assays. Diagnostic accuracy based on ROC curve analysis was similar for all assays [area under the curve (95% CI): 0.996 (0.967–0.998) for a-tTG, 0.995 (0.964–0.998) for IgA a-DGP, 0.989 (0.954–0.999) for IgG a-DGP, 0.996 (0.966–0.998) for blended conjugated of IgA + IgG a-DGP in a single assay, and 0.967 (0.922–0.990) for AAA]. The combinations of 2 tests, IgG a-DGP plus IgA a-tTG or the single blended conjugate detecting IgA + IgG a-DGP plus IgA a-tTG had 100% positive and negative predictive values if concentrations of both tests in either combination were above or below the cutoff. Conclusions: In a population with high pretest probability, the newly developed a-DGP tests have diagnostic accuracy that is at least equivalent to that of established assays.Keywords
Funding Information
- Consejo de Investigación en Salud del Ministerio de Salud del Gobierno Autónomo de la Ciudad de Buenos Aires
- Inova Inc.
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